'Secondary structure elements' presentation slideshows

C omputational ncRNA gene finding (& nc RNA structure prediction)

C omputational ncRNA gene finding (& nc RNA structure prediction). nc RNA structure prediction (& computational ncRNA gene finding). Liming Cai. (BINF8210@UGA, Fall 2010). Non-coding RNAs. Functions other than coding proteins, e.g., structural, catalytic, and regulatory factors

1.18k views • 98 slides

Lecture 14 Secondary Structure Prediction

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Lecture 14 Secondary Structure Prediction. Bioinformatics Center IBIVU. Protein structure . Linus Pauling (1951).

900 views • 74 slides

Inverse Kinematics

Inverse Kinematics. q 4. q 5. q 2. q 3. q 1. rigid groups of atoms. T. Inverse Kinematics (IK). Given a kinematic chain (serial linkage), the position/orientation of one end relative to the other (closed chain) , find the values of the joint parameters.

1.15k views • 58 slides

Introduction to biological NMR

Introduction to biological NMR. Dominique Marion Institut de Biologie Structurale Grenoble France. Presentation outline. ? Structural investigation by NMR. ? NMR spectral parameters. ? The NMR spectrometer. ? Two dimensional NMR. ? Protein HSQC. ? NMR resonance assignment.

1.12k views • 53 slides

From Sequences to Structure

From Sequences to Structure. Illustrations from: C Branden and J Tooze , Introduction to Protein Structure, 2 nd ed. Garland Pub. ISBN 0815302703. Protein Functions. Mechanoenzymes: myosin, actin Rhodopsin: allows vision Globins: transport oxygen Antibodies: immune system

725 views • 52 slides

Sequence analysis of nucleic acids and proteins: part 2

Sequence analysis of nucleic acids and proteins: part 2. Prediction of structure and function. Based on Chapter 3 of Post-genome bioinformatics by Minoru Kanehisa Oxford University Press, 2000. Search and learning problems in sequence analysis. Thermodynamic principle.

727 views • 50 slides

CS177 Lecture 7 Computational Aspects of Protein Structure II

534 views • 43 slides

Bioinformatica I

Bioinformatica I. The amino acids. Things to do today. Proteins (high speed sneak preview) Primary structure Secondary structure Tertiary structure The amino acids One amino acid Our first protein A closer look at the amino acids Secondary structure preferences.

546 views • 41 slides

Introduction to Bioinformatics

Introduction to Bioinformatics. SIB and EMBnet Bio informatics resources for biomedical scientists. The Swiss Institute of Bioinformatics. Founded in March 1998 Collaborative structure Lausanne - Geneva - Basel

596 views • 36 slides

Bringing Structure to Biology: Small Molecules and the PDBe

Bringing Structure to Biology: Small Molecules and the PDBe. PDBe overview. PDB is a core molecular database at EMBL-EBI PDBe is a founding partner of Worldwide Protein Data Bank (wwPDB) Founder of Electron Microscopy Data Bank (EMDB) Mission: Bringing Structure to Biology

423 views • 28 slides

Protein Structure

Protein Structure. Protein Functions. Three examples of protein functions Catalysis: Almost all chemical reactions in a living cell are catalyzed by protein enzymes. Transport: Some proteins transports various substances, such as oxygen, ions, and so on.

510 views • 23 slides

Computational Chemistry and Molecular Modeling

Computational Chemistry and Molecular Modeling Lecture 1 08.2.12 CH418 computational Chemistry KAIST COMPUTATIONAL CHEMISTRY (Use computers to solve chemical problems) Computation | Theory | Modeling Simulation QUANTUM CHEMISTRY (Quantum mechanics + Chemistry)

1.68k views • 21 slides

Multiple Alignment and Phylogenetic Trees

Multiple Alignment and Phylogenetic Trees. Csc 487/687 Computing for Bioinformatics. Multiple Sequence Alignment. One amino acid sequence plays coy; a pair of homologous sequences whisper; many aligned sequences shout out loud. Very informative. Definition.

348 views • 21 slides

PDBeFold (SSM ) pdbe /fold

451 views • 20 slides

Journal club 06/27/08

246 views • 16 slides

Algorithms in Bioinformatics

Algorithms in Bioinformatics. Morten Nielsen Department of Systems Biology, DTU. Course objective. Algorithms are black-boxes. No one knows how a neural network is trained No one knows how a PSSM is constructed Often no software exists that does exactly what you need.

353 views • 15 slides

Core structures within the PTP domain are highly conserved and

IV M x T (M6). K Cxx Y WP (M7). W PDxGx P (M8). TxxD FW xMxW (M5). QTxx Q Y x F (M10). Pxx V HCS A G x GR T G (M9). IAx Q GP (M4). D xxRVx L (M2). N xx K N R Y (M1). D Y INA (M3). Core structures within the PTP domain are highly conserved and

90 views • 1 slides

Core structures within the PTP domain are highly conserved and

IV M x T (M6). K Cxx Y WP (M7). W PDxGx P (M8). TxxD FW xMxW (M5). QTxx Q Y x F (M10). Pxx V HCS A G x GR T G (M9). IAx Q GP (M4). D xxRVx L (M2). N xx K N R Y (M1). D Y INA (M3). Core structures within the PTP domain are highly conserved and

86 views • 1 slides